Ross D. Shachter

Identifiers

• name variant Ross D. Shachter 0.60 · backfill

Papers (31)

1. Approximate Kalman Filter Q-Learning for Continuous State-Space MDPs cs.LG · 2013 · author #2
2. Intelligent Probabilistic Inference cs.AI · 2013 · author #1
3. DAVID: Influence Diagram Processing System for the Macintosh cs.AI · 2013 · author #1
4. A Backwards View for Assessment cs.AI · 2013 · author #1
5. Efficient Inference on Generalized Fault Diagrams cs.AI · 2013 · author #1
6. A Heuristic Bayesian Approach to Knowledge Acquisition: Application to Analysis of Tissue-Type Plasminogen Activator cs.AI · 2013 · author #1
7. A Linear Approximation Method for Probabilistic Inference cs.AI · 2013 · author #1
8. Simulation Approaches to General Probabilistic Inference on Belief Networks cs.AI · 2013 · author #1
9. Evidence Absorption and Propagation through Evidence Reversals cs.AI · 2013 · author #1
10. Directed Reduction Algorithms and Decomposable Graphs cs.AI · 2013 · author #1
11. A Graph-Based Inference Method for Conditional Independence cs.AI · 2013 · author #1
12. Decision Making Using Probabilistic Inference Methods cs.AI · 2013 · author #1
13. Structural Controllability and Observability in Influence Diagrams cs.AI · 2013 · author #2
14. Using Potential Influence Diagrams for Probabilistic Inference and Decision Making cs.AI · 2013 · author #1
15. Mixtures of Gaussians and Minimum Relative Entropy Techniques for Modeling Continuous Uncertainties cs.AI · 2013 · author #2
16. End-User Construction of Influence Diagrams for Bayesian Statistics cs.AI · 2013 · author #2
17. Global Conditioning for Probabilistic Inference in Belief Networks cs.AI · 2013 · author #1
18. Three Approaches to Probability Model Selection stat.ME · 2013 · author #2
19. A Decision-Based View of Causality cs.AI · 2013 · author #2
20. Laplace's Method Approximations for Probabilistic Inference in Belief Networks with Continuous Variables cs.AI · 2013 · author #2
21. A Definition and Graphical Representation for Causality cs.AI · 2013 · author #2
22. Decision Flexibility cs.AI · 2013 · author #2
23. A Measure of Decision Flexibility cs.AI · 2013 · author #1
24. Bayes-Ball: The Rational Pastime (for Determining Irrelevance and Requisite Information in Belief Networks and Influence Diagrams) cs.AI · 2013 · author #1
25. Learning From What You Don't Observe cs.AI · 2013 · author #2
26. Efficient Value of Information Computation cs.AI · 2013 · author #1
27. Evaluating influence diagrams with decision circuits cs.AI · 2012 · author #2
28. Sensitivity analysis in decision circuits cs.AI · 2012 · author #2
29. Three new sensitivity analysis methods for influence diagrams cs.AI · 2012 · author #2
30. Dynamic programming in in uence diagrams with decision circuits cs.AI · 2012 · author #1
31. Strictly Proper Mechanisms with Cooperating Players cs.GT · 2012 · author #2

Mentions

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Frequent Coauthors

• Debarun Bhattacharjya 4 shared papers
• David Heckerman 3 shared papers
• Mark Alan Peot 3 shared papers
• Stig K. Andersen 2 shared papers
• William B. Poland 2 shared papers
• Adriano Azevedo-Filho 1 shared papers
• Brian Y. Chan 1 shared papers
• Charles Tripp 1 shared papers
• David M. Eddy 1 shared papers
• Harold P. Lehmann 1 shared papers
• Kim-Leng Poh 1 shared papers
• Leonard Bertrand 1 shared papers
• Marvin Mandelbaum 1 shared papers
• Peter Szolovits 1 shared papers
• Pierre Ndilikilikesha 1 shared papers
• Robert Wolpert 1 shared papers
• SangIn Chun 1 shared papers
• Tom Chavez 1 shared papers
• Vic Hasselblad 1 shared papers